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Differentially private sub-Gaussian location estimators

Differentially private sub-Gaussian location estimators

27 June 2019
Marco Avella-Medina
Victor-Emmanuel Brunel
ArXiv (abs)PDFHTML

Papers citing "Differentially private sub-Gaussian location estimators"

14 / 14 papers shown
Title
PriME: Privacy-aware Membership profile Estimation in networks
PriME: Privacy-aware Membership profile Estimation in networks
Abhinav Chakraborty
Sayak Chatterjee
Sagnik Nandy
119
1
0
04 Jun 2024
Differentially private projection-depth-based medians
Differentially private projection-depth-based medians
Kelly Ramsay
Dylan Spicker
49
2
0
12 Dec 2023
A Polynomial Time, Pure Differentially Private Estimator for Binary
  Product Distributions
A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions
Vikrant Singhal
91
9
0
13 Apr 2023
From Robustness to Privacy and Back
From Robustness to Privacy and Back
Hilal Asi
Jonathan R. Ullman
Lydia Zakynthinou
83
30
0
03 Feb 2023
Differentially private multivariate medians
Differentially private multivariate medians
Kelly Ramsay
Aukosh Jagannath
Shojaéddin Chenouri
60
4
0
12 Oct 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High
  Dimensions Under Minimal Assumptions
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
Omri Ben-Eliezer
Dan Mikulincer
Ilias Zadik
FedML
90
7
0
15 Aug 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting
  Lemma
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
FedML
107
30
0
17 May 2022
Efficient Mean Estimation with Pure Differential Privacy via a
  Sum-of-Squares Exponential Mechanism
Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism
Samuel B. Hopkins
Gautam Kamath
Mahbod Majid
FedML
80
62
0
25 Nov 2021
A Private and Computationally-Efficient Estimator for Unbounded
  Gaussians
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
Thomas Steinke
Jonathan R. Ullman
95
40
0
08 Nov 2021
Differentially private depth functions and their associated medians
Differentially private depth functions and their associated medians
Kelly Ramsay
Shojaéddin Chenouri
FedML
57
8
0
07 Jan 2021
Strongly universally consistent nonparametric regression and
  classification with privatised data
Strongly universally consistent nonparametric regression and classification with privatised data
Thomas B. Berrett
László Gyorfi
Harro Walk
52
16
0
31 Oct 2020
Private Mean Estimation of Heavy-Tailed Distributions
Private Mean Estimation of Heavy-Tailed Distributions
Gautam Kamath
Vikrant Singhal
Jonathan R. Ullman
105
99
0
21 Feb 2020
Privacy-preserving parametric inference: a case for robust statistics
Privacy-preserving parametric inference: a case for robust statistics
Marco Avella-Medina
49
51
0
22 Nov 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and
  Mean Estimation
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun
Thomas Steinke
78
76
0
06 Jun 2019
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